code: def gcn_norm(
      edge_index,
      edge_weight=None,
      num_nodes=None,
      improved=False,
      add_self_loops=True,
      dtype=None,
  ):
      # type: (Tensor, OptTensor, Optional[int], bool, bool, Optional[int]) -> PairTensor  # noqa
      pass
  
file_path: AutoGL/autogl/module/model/pyg/robust/nn/gcn_conv.py
imports: import torch
  from torch.nn import Parameter
  from torch_scatter import scatter_add
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.utils import add_remaining_self_loops, to_undirected
  from .inits import glorot, zeros
label_desc: Use image node_id 1 for calling a global function with example usage: gcn_norm(edge_index, edge_weight, num_nodes, improved, add__loops, dtype) without return types